Construction industry material supervision method and system based on CIM

Abstract

The invention relates to the technical field of intelligent material management, and discloses a construction industry material supervision method and system based on CIM, and the supervision system is constructed based on a CIM model, and is used for material supervision in the whole life cycle of a construction project. The system comprises a bus system, a data transceiving unit, a data storage unit, a central processing unit and a software program which resides in the data storage unit and can be executed by the central processing unit, the data transceiving unit, the data storage unit and the central processing unit are mutually connected through a bus system; the supervision system is logically divided into a data layer, a platform layer, an application layer and an access layer. According to the invention, through integration of CIM, BIM and IoT technologies, automatic collection and real-time transmission of material data are realized, traditional manual recording is replaced, and manual data mistakes and omissions are avoided while the labor cost is reduced; the dynamic contrastive analysis function can identify the progress and the material deviation in real time, solve the problem of information lag and improve the efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent material management, and particularly relates to a building industry material supervision method and system based on CIM. BACKGROUND

[0002] With the continuous development of market economy, the market competition of the construction industry is increasingly fierce. Under the background of the development and innovation of social information technology, most construction enterprises improve their competitiveness by strengthening informationization construction, integrating market information resources, and enhancing the response ability to market changes. However, energy consumption is increasing, and energy problems have become one of the important problems facing the world today. As one of the important fields of energy consumption, energy saving and emission reduction has become an important trend of industry development. However, the current society is generally faced with the challenges of material waste and cost control in the construction process of building projects.

[0003] The efficiency and accuracy of material management in the construction industry have a crucial impact on the progress and cost control of the entire construction project. Traditional material management methods often rely on manual recording and monitoring, which is not only inefficient but also prone to errors, making it difficult to meet the high requirements of the modern construction industry for material management. Therefore, it is necessary to develop a real-time and accurate material supervision method and system to improve the level of material management in the construction industry.

[0004] However, the existing material management system in the process of monitoring material use and storage mostly relies on manual recording and regular inspection. This method has the problems of information lag, inaccurate data, and difficulty in real-time monitoring. When the material use exceeds the budget or the storage conditions are not appropriate, it is often difficult to discover and take effective measures in a timely manner, which not only increases the cost of material management but also affects the progress and quality of the construction project. SUMMARY

[0005] In order to make up for the above shortcomings, the present application provides a building industry material supervision method and system based on CIM, which overcomes the defects of low efficiency, information lag, and insufficient control precision of the existing building industry material management. By integrating CIM, BIM, GIS, IoT, and digital twin technology, the present application realizes real-time monitoring, dynamic analysis, and intelligent optimization of the whole life cycle of building project materials, reduces material waste, controls project cost, ensures construction progress, and promotes sustainable development of the construction industry.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a CIM-based method and system for monitoring construction materials. The monitoring system is built upon a CIM model and is used for material monitoring throughout the entire lifecycle of a construction project. It includes a bus system, a data transceiver unit, a data storage unit, a central processing unit, and software programs residing in the data storage unit and executable by the central processing unit. The data transceiver unit, data storage unit, and central processing unit are all interconnected via the bus system. The specific technical solution is as follows:

[0007] (I) Regulatory System Architecture

[0008] The monitoring system is logically divided into four layers: data layer, platform layer, application layer, and access layer. Each layer is functionally independent yet works in tandem. The specific structure is as follows:

[0009] 1) Data Layer: As the core of the system's data support, it stores all the data required for the supervision of building project materials, including three key types of data:

[0010] GIS data: records the geographical location information of construction projects (such as project site coordinates, construction site zoning layout, and geographical parameters of material transportation routes), providing a foundation for material spatial distribution management and transportation route optimization;

[0011] IoT data: Stores real-time data collected by IoT devices, including material usage (such as steel bar cutting and concrete pouring), environmental parameters (such as temperature and humidity in cement warehouses), and construction progress data (such as percentage of process completion).

[0012] Digital twin data: Stores virtual model data of construction projects. This virtual model is synchronized with the physical construction project in real time (such as construction progress and changes in material status). It can dynamically reflect the material requirements and actual consumption at each stage of the project, providing a carrier for construction simulation and predictive analysis.

[0013] 2) Platform Layer: As the system's technology integration and functional support layer, it integrates multiple technology modules and provides standardized services, including:

[0014] Basic technical services: CIM integration services (enabling multi-source data fusion and collaboration), BIM building model (providing geometric information and material property data of building components), GIS geographic location system (enabling geospatial data processing), IoT Internet of Things services (interfacing with IoT devices to enable real-time data transmission, reception and parsing);

[0015] Core business modules: Material information management module (maintaining basic information such as material specifications, suppliers, and inventory), material usage monitoring module (tracking material consumption dynamics in real time), material demand forecasting module (forecasting subsequent material demand based on historical data and project progress), and material supply chain management module (optimizing procurement plans and supplier collaboration).

[0016] Architecture features: Service integration and modular deployment are achieved through API gateway and microservice architecture, and functional modules can be flexibly added or removed according to project needs, improving system scalability and ease of maintenance;

[0017] 3) Application Layer: As the system's functional output layer, it integrates CIM+ technology to realize specific application functions for building project material supervision, including:

[0018] CIM+ Material Usage Monitoring: Real-time monitoring of the deviation between the actual and planned material usage at each construction stage;

[0019] Material demand forecasting: Based on historical data, current progress, and market conditions, forecast subsequent material demand;

[0020] Material supervision: Covers the entire process of material procurement, warehousing, outbound, and use to prevent loss and waste;

[0021] Construction progress management: Link material usage data with construction progress to ensure that material supply matches the progress of work processes;

[0022] Environmental monitoring: Monitor the material storage environment (such as the storage conditions of flammable and explosive materials) to ensure construction safety;

[0023] 4) Access Layer: As the interaction interface between the system and the user, it provides convenient operation entry points for multiple terminals, including:

[0024] User interface: Allows administrators to configure the system, query data, and export reports on a PC.

[0025] Mobile application: Allows on-site staff (such as construction workers and warehouse managers) to fill in material data (such as actual material intake) and view material demand lists in real time;

[0026] Web application: Supports multiple roles (such as project managers and suppliers) to access the system through a browser, enabling cross-departmental collaboration (such as suppliers viewing procurement requirements and project managers viewing cost reports).

[0027] (II) Regulatory Methods

[0028] The regulatory method is based on the aforementioned regulatory system and includes six core steps, which are linked together to form a closed-loop regulatory process, as detailed below:

[0029] Step M10: Obtain and validate the BIM model and construction plan for the building project.

[0030] Obtain a complete BIM model (including geometric parameters of building components, material types and quantities, and process relationships) and construction plan (including phased construction tasks, time nodes, and resource allocation) from the architectural project design phase; check the matching degree between the BIM model and the construction plan through the BIM verification module of the CIM platform (such as whether the material quantities in the model are consistent with the requirements of the planning phase, and whether the component disassembly conforms to the construction sequence) to ensure the accuracy and feasibility of the data, and lay the foundation for subsequent phased supervision;

[0031] Step M20: Decompose the BIM model into components according to the construction phase based on the construction plan.

[0032] Based on the phased division of the construction plan (such as foundation construction phase, main structure phase, and decoration phase), the complete BIM model is broken down into "phase models" corresponding to each phase, clearly defining the building components and material lists required for each phase; this step also includes the following sub-steps:

[0033] Step M21: Link the material usage plan for each stage (such as the amount of concrete used in the foundation stage and the amount of steel used in the main structure stage) with the corresponding stage model to achieve a visual display of material requirements (such as marking the material requirements by model color).

[0034] Step M22: Bind the stage model to the bill of materials to ensure that the material specifications and quantities in the bill of materials are consistent with the material requirements of the components in the model;

[0035] Step M23: Using the construction simulation function of the CIM platform, simulate the material usage process (such as concrete pouring sequence and rebar tying process) based on the stage model, and optimize the material usage plan (such as adjusting the material arrival time to avoid idleness); achieve this through the optimized material usage calculation formula, and the optimized usage S satisfies: ,in, Material usage for phased model planning, To simulate the loss rate (calculated using construction simulation software, concrete) ≤3%, masonry ≤2%); when the simulated loss rate is greater than the preset threshold, adjust the construction process to reduce it. ;

[0036] Step M24: Update the construction plan based on the simulation optimization results to ensure that the construction progress matches the material supply schedule;

[0037] Step M30: Deploy IoT devices at the construction site to monitor material usage in real time.

[0038] Based on construction zones and material types, IoT devices are deployed in key locations: for example, weight sensors (to monitor changes in sand and cement inventory) and temperature and humidity sensors (to monitor the storage environment) are deployed in material storage areas; cameras (to identify component installation progress) and RFID readers (to track the usage flow of steel bars and precast components) are deployed at construction workstations; all IoT devices are connected to the CIM platform via wireless communication modules to achieve real-time uploading of material usage data;

[0039] Step M40: Collect material usage data through sensors, monitoring equipment, and user reporting modules.

[0040] A dual-channel data collection method combining "automatic acquisition + manual calibration" is employed to ensure data comprehensiveness and accuracy, specifically including:

[0041] Step M41: Automatically identify the current construction progress (such as the completion rate of the foundation stage) through sensors and progress monitoring equipment (such as cameras and RFID readers);

[0042] Step M42: The CIM platform automatically matches the corresponding stage BIM model based on the recognition progress;

[0043] Step M43: Based on the matching stage model, analyze and collect material usage data (including usage amount, usage time, usage location, and material specifications), and synchronize the data to the data layer in real time;

[0044] Step M44: On-site staff fill in data such as actual feed amount and material loss amount through a mobile application, calibrate the automatically collected data (such as correcting sensor errors), and generate the final material usage data;

[0045] Step M50: Perform dynamic comparative analysis between construction progress data and BIM modeling progress data.

[0046] The actual construction progress data (such as process completion time and component installation quantity) collected by IoT devices is extracted and compared in real time with the pre-set planned progress data in the BIM model to identify progress deviations and material usage deviations. This step also includes the following sub-steps:

[0047] Step M51: Based on the comparison results, conduct material deviation analysis (e.g., actual concrete usage is 5% more than planned), identify potential waste points (e.g., waste caused by grout leakage during pouring) and management improvement points (e.g., non-standard material requisition process); achieve this through the deviation rate calculation formula, where the deviation rate P satisfies: Where A is the actual material usage at the current stage, B is the material usage planned in the BIM model, and K is the deviation correction coefficient (K=1.05 for concrete and K=1.03 for steel); when P>10%, it is identified as a potential waste point.

[0048] Step M52: Based on the deviation analysis results, generate optimization suggestions (such as adjusting the subsequent concrete purchase quantity and optimizing the pouring process) in conjunction with the material demand forecasting module.

[0049] Step M53: Feed back the optimization suggestions to the construction team through the access layer (e.g., push to the project manager via web application, remind the construction workers via mobile application) to guide the team to adjust the material usage plan.

[0050] Furthermore, step M51 also includes material demand forecasting and budget adjustments:

[0051] Step M511: Utilize historical material usage data from building projects (such as concrete wastage rates for similar projects) and current deviation analysis results to establish a material usage prediction model; employing algorithms such as time series analysis and regression analysis, the model formula can be expressed as follows: ,in To predict material usage, For the sake of construction progress, Historical loss rate For model parameters, This is the error term;

[0052] Step M512: Compare the prediction results output by the prediction model with the actual material usage data, calculate indicators such as mean square error (MSE) and mean absolute error (MAE), evaluate the accuracy of the model and iteratively optimize it;

[0053] Step M513: Based on the optimized forecast results and market conditions (such as material price fluctuations and supplier delivery cycles), adjust the material procurement plan (such as purchasing materials during periods of low prices in advance).

[0054] Step M514: Update the material budget based on the predicted material usage to ensure that the budget matches the actual needs and avoid overspending;

[0055] Step M60: Regularly generate material usage reports

[0056] The CIM platform automatically summarizes material usage data and analysis results at preset intervals (such as weekly or monthly) and generates a material usage report; the report content includes:

[0057] Phased material usage (comparison of actual usage and planned usage at each stage).

[0058] Cost analysis (actual cost of each material, deviation from budget, cost losses due to waste);

[0059] Waste situation (waste type, waste amount, waste cause analysis);

[0060] Implementation status of optimization suggestions (the effectiveness of initial optimization suggestions and directions for future improvement);

[0061] The report can be exported or pushed through the access layer's user interface, web application, or other means to provide data support for project management decisions.

[0062] The present invention has the following beneficial effects:

[0063] 1. In this invention, by integrating CIM, BIM, and IoT technologies, automatic collection and real-time transmission of material data are achieved, replacing traditional manual recording, reducing labor costs, and avoiding human error in data; the dynamic comparison and analysis function can identify progress and material deviations in real time, solving the problem of information lag and improving efficiency; the phased BIM model splitting and construction simulation can accurately match material needs and usage rhythm, avoiding over-purchasing; deviation analysis and optimization suggestions can promptly identify waste points (such as idle materials caused by process connection), reducing material waste rate.

[0064] 2. In this invention, the regularly generated material usage reports and prediction models provide project managers with full-chain decision support from "current situation analysis to problem identification to future prediction". The system covers the entire life cycle of material procurement, storage, use and recycling. After the project is completed, the digital twin model can be used as a digital asset to support material maintenance and renovation planning during the building operation phase, realizing "integrated construction and management".

[0065] 3. This invention reduces material waste and optimizes resource allocation, thereby reducing energy consumption and environmental impact of construction projects. It aligns with the national "dual carbon" goals and the energy conservation and emission reduction requirements of the construction industry, and promotes the industry's transformation towards green and intelligent directions. Attached Figure Description

[0066] Figure 1 This is a schematic diagram of the system software architecture of a CIM-based construction material supervision method and system in this invention;

[0067] Figure 2 This is a schematic diagram of the overall process of a CIM-based construction material supervision method and system in this invention.

[0068] Figure 3 This is a schematic diagram of the sub-process of step M20 in this invention;

[0069] Figure 4 This is a schematic diagram of the sub-process of step M40 in this invention;

[0070] Figure 5 This is a schematic diagram of the sub-process of step M50 in this invention;

[0071] Figure 6 This is a detailed flowchart of step M51 in this invention. Detailed Implementation

[0072] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0073] Reference Figures 1-6 One embodiment provided by the present invention:

[0074] 1. Project Background: This project consists of 10 residential buildings, each 18 stories high, with a total construction area of ​​120,000 square meters and a construction period of 2 years. The main materials that need to be supervised include concrete, steel bars, cement, and precast components. In the early stages of the project, there were problems such as low efficiency of traditional material management and serious waste of concrete.

[0075] 2. System Deployment and Implementation Steps

[0076] (1) System initialization and data preparation (corresponding step M10)

[0077] Obtain the complete BIM model of the project from the design unit (including the geometric parameters of each building component, concrete strength grade, steel reinforcement specifications and usage) and construction plan (divided into three stages: foundation, main structure, and decoration; foundation stage 3 months, main structure stage 9 months, decoration stage 6 months).

[0078] By using the BIM verification module of the CIM platform, we checked the matching degree between the concrete usage in the model (e.g., 800m³ of C30 concrete is required for each building in the foundation stage) and the construction plan, corrected the problem of two components in the model not matching the planned procedures, and ensured the accuracy of the data.

[0079] (2) BIM model is split into stages (corresponding to step M20)

[0080] Based on the construction plan, the BIM model is divided into three phases: foundation, main structure, and decoration. The foundation phase model includes components such as pile foundations, cushion layers, and pile caps; the main structure phase model includes components such as beams, slabs, and columns; and the decoration phase model includes components such as walls, doors and windows, and finishing materials.

[0081] Step M21: Link the concrete usage plan for the foundation stage (800m³ / building, 10 buildings in total) with the foundation stage model and visualize it through model color marking (e.g., blue marks the area to be poured, and the color depth corresponds to the amount applied);

[0082] Step M22: Link the basic stage model with the material requirements list, which specifies the specifications and quantities of C30 concrete, Φ16 steel bars, and P.O42.5 cement;

[0083] Step M23: Through construction simulation, it was found that there was a problem with the concrete pouring in the foundation stage: "the simultaneous pouring of the east and west buildings led to insufficient pump trucks". The solution was to "pour in batches, with the east building poured on Mondays and Wednesdays and the west building poured on Tuesdays and Thursdays".

[0084] Step M24: Update the construction plan and adjust the concrete delivery time to ensure that the quantity of each batch delivered matches the pouring requirements.

[0085] (3) IoT device deployment (corresponding step M30)

[0086] Deploy the following IoT devices at the project site:

[0087] Material storage area: 2 weight sensors (monitoring sand and gravel and cement inventory), 1 temperature and humidity sensor (monitoring temperature and humidity of cement warehouse, with set thresholds: temperature ≤30℃, humidity ≤60%).

[0088] Construction workstations: Each building foundation pouring area is equipped with 1 camera (to identify the pouring progress) and 1 RFID reader (to track the arrival and use of steel bars);

[0089] Data transmission: All devices access the CIM platform via 4G / 5G modules, with data upload frequency set to once every 15 minutes.

[0090] (4) Material data collection and calibration (corresponding step M40)

[0091] Step M41: The camera uses image recognition technology to identify the completion rate of the foundation pouring of Building 1 East (e.g., 30% completed in the first week), and the RFID reader records that 5 tons of Φ16 steel bars have been used in Building 1 East.

[0092] Step M42: The CIM platform automatically matches the BIM model of Building 1 in the foundation stage according to the progress of "30% of the foundation pouring of Building 1 East".

[0093] Step M43: Based on model analysis, 240m³ of C30 concrete should be consumed during the 30% progress of the foundation stage of Building 1 in the East. 3 4.8 tons of Φ16 steel bars; the actual data collected by the sensor is 250m³ of concrete and 5 tons of steel bars, and the data is synchronized to the data layer.

[0094] Step M44: The on-site warehouse manager reports via mobile application: 260m³ of concrete actually delivered to Building 1, East this week. 3 10m 3 Unable to be used due to dampness caused by rain (wasteful), the actual effective capacity after calibration is 250m. 3 The data is consistent with the sensor data, generating the final material usage data.

[0095] (5) Dynamic comparative analysis and optimization (corresponding step M50)

[0096] Comparing the actual progress (30% of the foundation pouring for Building 1 in the East, taking 7 days) with the planned progress (30% planned, taking 6 days), it was found that the progress is lagging by 1 day; comparing material usage: the actual amount of concrete used was 250m³. 3 The planned usage was 240 m³, exceeding the budget by 4.17%.

[0097] Step M51: Deviation analysis shows that the concrete overrun was caused by grout leakage from the formwork during the pouring process, and the delay in progress was due to the scheduling of the pump truck.

[0098] Step M52: Generate optimization suggestions: ① Replace damaged formwork and strengthen formwork inspection before pouring; ② Adjust the pump truck scheduling plan and book pump trucks 1 day in advance;

[0099] Step M53: Optimization suggestions were pushed to the construction team via mobile application. The team replaced the formwork on the same day, and the pump truck arrived on time in the second week. The foundation pouring progress of Building 1 in the east caught up with the planned level.

[0100] Steps M511-M514: Using concrete usage data from the first two weeks of the project (actual loss rate 5%) and historical data from similar projects (average loss rate 4%), a predictive model was established to predict that 560 m³ of concrete would be needed for the remaining 70% of the foundation stage of Building 1 (considering a 4.5% loss rate). Comparing the predicted value with the subsequent actual usage (558 m³), ​​the model accuracy was 99.6%. Based on the prediction results, the next batch of concrete procurement was adjusted to 560 m³ to avoid over-procurement. At the same time, the concrete budget for the foundation stage was updated from 8,000 yuan / m³ to 7,980 yuan / m³ (due to bulk purchase price discounts).

[0101] (6) Report generation and decision support (corresponding step M60)

[0102] At the end of Week 1, the CIM platform automatically generated the "Materials Usage Report for Week 1 of the Basic Phase".

[0103] The actual amount of concrete used was 250m³, while the planned amount was 240m³, resulting in an overspending of 4.17% and a waste of 10m³ (cost loss of 8,000 yuan).

[0104] The actual amount of steel bars used was 5 tons, while the planned amount was 4.8 tons, resulting in an overspending of 4.17%, with no waste.

[0105] Optimization recommendations implementation status: The template has been replaced, the pump truck scheduling plan has been adjusted, and the waste rate is expected to drop below 2% in the second week;

[0106] The project manager viewed the reports through a web application and decided to "increase the frequency of template checks" to further reduce waste.

[0107] 3. Implementation Results

[0108] After applying the system of this invention to this project, the following effects are achieved:

[0109] The material waste rate has been reduced from 8% in the early stage to below 3%, and the cost of major materials such as concrete and steel bars has been reduced by about 1.2 million yuan.

[0110] Material management labor costs have been reduced by 50% (from 5 people to 2 people to calibrate data).

[0111] The construction progress deviation rate was reduced from 10% to less than 3%, and the project was completed one month ahead of schedule;

[0112] After the project is completed, the digital twin model will serve as a digital asset for subsequent property maintenance (such as planning for wall material replacement), achieving "integrated construction and management".

[0113] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A CIM-based construction material monitoring system, characterized in that: The monitoring system, built on a CIM model, is used for material monitoring throughout the entire lifecycle of a construction project. It includes a bus system, data transceiver units, data storage units, a central processing unit, and software programs residing in the data storage units and executable by the central processing unit. The data transceiver units, data storage units, and central processing unit are interconnected via the bus system. Logically, the monitoring system is divided into four layers: a data layer, a platform layer, an application layer, and an access layer. The data layer is used to store GIS data, IoT data, and digital twin data; The platform layer includes CIM integration services, BIM building models, GIS geographic location systems, IoT services, as well as material information management modules, material usage monitoring modules, material demand forecasting modules, and material supply chain management modules. The application layer is used to realize CIM+ building project material usage detection, material demand prediction, material supervision, construction progress management and environmental monitoring; The access layer includes user interfaces, mobile applications, and web applications.

2. The CIM-based construction material monitoring system according to claim 1, characterized in that: The platform layer implements service integration and modularization functions through API gateways and microservice architecture to improve the system's flexibility and scalability.

3. The CIM-based construction material monitoring system according to claim 1, characterized in that: In the data layer: GIS data is used to record the geographical location information of the building project; IoT data is used to record real-time data such as material usage and construction progress collected by IoT devices; digital twin data is used to store virtual model data of the building project, and the virtual model is updated synchronously with the physical building project.

4. A CIM-based construction material monitoring system according to claim 1, characterized in that: The application layer integrates CIM+ technology to achieve real-time detection and monitoring of material usage in building projects, as well as material demand prediction based on historical and real-time data.

5. A CIM-based construction material monitoring system according to claim 1, characterized in that: The access layer enables system users to query, operate, and provide feedback on material monitoring data through user interfaces, mobile applications, and web applications, supporting real-time monitoring of material supply and usage at the construction site.

6. A CIM-based method for supervising construction materials, characterized in that: The monitoring method is implemented based on the monitoring system described in claim 1 and is used for material monitoring throughout the entire life cycle of a construction project, including the following steps: Step M10: Obtain and validate the BIM model and construction plan for the building project; Step M20: Based on the construction plan, the BIM model is broken down into components according to the construction stage to obtain the building model for each stage of the building project; Step M30: Deploy IoT devices at the construction site to monitor material usage in real time; Step M40: Collect material usage data through sensors, monitoring equipment, and user reporting modules; Step M50: Perform dynamic comparative analysis between construction progress data and BIM modeling progress data; Step M60: Periodically generate material usage reports, which include the amount of material used in each period, costs, and waste.

7. A CIM-based construction material supervision method according to claim 6, characterized in that: Step M20 further includes the following steps: Step M21: Link the material usage plan with the BIM model to achieve visual monitoring of material usage; Step M22: Associate the building models for each stage with the corresponding material requirements list for that stage; Step M23: Optimize the material usage plan corresponding to the stage model through construction simulation; achieve this through the optimized material usage calculation formula, where the optimized usage S satisfies: ,in, Material usage for phased model planning, To simulate the loss rate (calculated using construction simulation software, concrete) ≤3%, masonry ≤2%); when the simulated loss rate is greater than the preset threshold, adjust the construction process to reduce it. ; Step M24: Update the construction plan based on the adjustment results of the stage model.

8. A CIM-based construction material supervision method according to claim 6, characterized in that: Step M40 further includes the following steps: Step M41: Identify the current construction progress based on sensors and progress monitoring equipment; Step M42: Match the building project BIM model corresponding to the current construction progress; Step M43: Analyze and collect material usage data based on the current progress of the BIM model, including the amount of material used and the usage time; Step M44: Monitor the data calibration operation performed by the user based on the actual material feeding situation, and generate calibrated material usage data.

9. A CIM-based construction material supervision method according to claim 6, characterized in that: Step M50 further includes the following steps: Step M51: Based on the dynamic comparative analysis results, perform material deviation analysis to identify potential material waste points and management improvement areas; this is achieved through the deviation rate calculation formula, where the deviation rate P satisfies: Where A is the actual material usage at the current stage, B is the material usage planned in the BIM model, and K is the deviation correction coefficient (K=1.05 for concrete and K=1.03 for steel); when P>10%, it is identified as a potential waste point. Step M52: Generate material usage optimization suggestions based on the material deviation analysis results; Step M53: Feed back the optimization suggestions to the construction team and guide them to adjust the material usage plan.

10. A CIM-based construction material supervision method according to claim 9, characterized in that: Step M51 further includes the following steps: Step M511: Utilize historical material usage data from building projects, combined with material deviation analysis results, to establish a material usage prediction model; employing algorithms such as time series analysis and regression analysis, the model formula can be expressed as follows: ,in To predict material usage, For the sake of construction progress, Historical loss rate For model parameters, This is the error term; Step M512: Compare the prediction results of the material usage prediction model with the actual material usage data to evaluate the accuracy of the model; Step M513: Adjust the material procurement plan based on the forecast results and market material supply and price conditions; Update and adjust the material budget based on predicted material usage.

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